This ebook constitutes the completely refereed post-proceedings of the sixth overseas Workshop on Mining internet facts, WEBKDD 2004, held in Seattle, WA, united states in August 2004 along with the tenth ACM SIGKDD overseas convention on wisdom Discovery and information Mining, KDD 2004.

The eleven revised complete papers awarded including an in depth preface went via rounds of reviewing and development and have been carfully chosen for inclusion within the booklet. The prolonged papers are subdivided into four common teams: net utilization research and consumer modeling, internet personalization and recommender platforms, seek personalization, and semantic internet mining. The latter includes additionally papers from the joint KDD workshop on Mining for and from the Semantic internet, MSW 2004.

This e-book constitutes the completely refereed post-proceedings of the sixth overseas Workshop on Mining internet information, WEBKDD 2004, held in Seattle, WA, united states in August 2004 together with the tenth ACM SIGKDD foreign convention on wisdom Discovery and knowledge Mining, KDD 2004. The eleven revised complete papers provided including a close preface went via rounds of reviewing and development and have been carfully chosen for inclusion within the ebook.

This booklet constitutes the refereed complaints of the second one overseas Workshop, IWCF 2008, held in Washington, DC, united states, August 2008. the nineteen revised complete papers provided have been conscientiously reviewed and chosen from 39 submissions. The papers are prepared in topical sections on developments and demanding situations; scanner, printer, and prints; human identity; shoeprints; linguistics;decision making and seek; speech research; signatures and handwriting.

This booklet constitutes the refereed complaints of the eleventh foreign Workshop on Computational Processing of the Portuguese Language, PROPOR 2014, held in Sao Carlos, Brazil, in October 2014. The 14 complete papers and 19 brief papers offered during this quantity have been conscientiously reviewed and chosen from sixty three submissions.

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There are many approaches to building such systems. Among them, using web access logs to generate users’ navigational models capable of building a web recommender system is a popular approach, given its non-intrusiveness. However, using only one information channel, namely the web access history, is often insuﬃcient for accurate recommendation prediction. We therefore advocate the use of additional available information channels, such as the content of visited pages and the connectivity between web resources, to better model user navigational behavior.

The oﬀ-line module pre-processes data to generate user models, while the on-line module uses and updates the models on-the-ﬂy to recognize user goals and predict recommendation lists. In this chapter, we investigate the design of a hybrid recommender system to recommend on-line resources, with the emphasis of the presence of concurrent Research funded in part by the Alberta Ingenuity Funds and NSERC Canada. Corresponding author. B. Mobasher et al. ): WebKDD 2004, LNAI 3932, pp. 37–55, 2006. R. Za¨ıane, J.